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The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation

BACKGROUND: Advanced clinical applications, such as dose accumulation and adaptive radiation therapy, require deformable image registration (DIR) algorithms capable of voxel-wise accurate mapping of treatment dose or functional imaging. By utilizing a multistage deformable phantom, the authors inves...

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Autores principales: Qin, An, Ionascu, Dan, Liang, Jian, Han, Xiao, O’Connell, Nicolette, Yan, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6280462/
https://www.ncbi.nlm.nih.gov/pubmed/30514348
http://dx.doi.org/10.1186/s13014-018-1192-x
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author Qin, An
Ionascu, Dan
Liang, Jian
Han, Xiao
O’Connell, Nicolette
Yan, Di
author_facet Qin, An
Ionascu, Dan
Liang, Jian
Han, Xiao
O’Connell, Nicolette
Yan, Di
author_sort Qin, An
collection PubMed
description BACKGROUND: Advanced clinical applications, such as dose accumulation and adaptive radiation therapy, require deformable image registration (DIR) algorithms capable of voxel-wise accurate mapping of treatment dose or functional imaging. By utilizing a multistage deformable phantom, the authors investigated scenarios where biomechanical refinement method (BM-DIR) may be better than the pure image intensity based deformable registration (IM-DIR). METHODS: The authors developed a biomechanical-model based DIR refinement method (BM-DIR) to refine the deformable vector field (DVF) from any initial intensity-based DIR (IM-DIR). The BM-DIR method was quantitatively evaluated on a novel phantom capable of ten reproducible gradually-increasing deformation stages using the urethra tube as a surrogate. The internal DIR accuracy was inspected in term of the Dice similarity coefficient (DSC), Hausdorff and mean surface distance as defined in of the urethra structure inside the phantom and compared with that of the initial IM-DIR under various stages of deformation. Voxel-wise deformation vector discrepancy and Jacobian regularity were also inspected to evaluate the output DVFs. In addition to phantom, two pairs of Head&Neck patient MR images with expert-defined landmarks inside parotids were utilized to evaluate the BM-DIR accuracy with target registration error (TRE). RESULTS: The DSC and surface distance measures of the inner urethra tube indicated the BM-DIR method can improve the internal DVF accuracy on masked MR images for the phases of a large degree of deformation. The smoother Jacobian distribution from the BM-DIR suggests more physically-plausible internal deformation. For H&N cancer patients, the BM-DIR improved the TRE from 0.339 cm to 0.210 cm for the landmarks inside parotid on the masked MR images. CONCLUSIONS: We have quantitatively demonstrated on a multi-stage physical phantom and limited patient data that the proposed BM-DIR can improve the accuracy inside solid organs with large deformation where distinctive image features are absent.
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spelling pubmed-62804622018-12-10 The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation Qin, An Ionascu, Dan Liang, Jian Han, Xiao O’Connell, Nicolette Yan, Di Radiat Oncol Research BACKGROUND: Advanced clinical applications, such as dose accumulation and adaptive radiation therapy, require deformable image registration (DIR) algorithms capable of voxel-wise accurate mapping of treatment dose or functional imaging. By utilizing a multistage deformable phantom, the authors investigated scenarios where biomechanical refinement method (BM-DIR) may be better than the pure image intensity based deformable registration (IM-DIR). METHODS: The authors developed a biomechanical-model based DIR refinement method (BM-DIR) to refine the deformable vector field (DVF) from any initial intensity-based DIR (IM-DIR). The BM-DIR method was quantitatively evaluated on a novel phantom capable of ten reproducible gradually-increasing deformation stages using the urethra tube as a surrogate. The internal DIR accuracy was inspected in term of the Dice similarity coefficient (DSC), Hausdorff and mean surface distance as defined in of the urethra structure inside the phantom and compared with that of the initial IM-DIR under various stages of deformation. Voxel-wise deformation vector discrepancy and Jacobian regularity were also inspected to evaluate the output DVFs. In addition to phantom, two pairs of Head&Neck patient MR images with expert-defined landmarks inside parotids were utilized to evaluate the BM-DIR accuracy with target registration error (TRE). RESULTS: The DSC and surface distance measures of the inner urethra tube indicated the BM-DIR method can improve the internal DVF accuracy on masked MR images for the phases of a large degree of deformation. The smoother Jacobian distribution from the BM-DIR suggests more physically-plausible internal deformation. For H&N cancer patients, the BM-DIR improved the TRE from 0.339 cm to 0.210 cm for the landmarks inside parotid on the masked MR images. CONCLUSIONS: We have quantitatively demonstrated on a multi-stage physical phantom and limited patient data that the proposed BM-DIR can improve the accuracy inside solid organs with large deformation where distinctive image features are absent. BioMed Central 2018-12-04 /pmc/articles/PMC6280462/ /pubmed/30514348 http://dx.doi.org/10.1186/s13014-018-1192-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Qin, An
Ionascu, Dan
Liang, Jian
Han, Xiao
O’Connell, Nicolette
Yan, Di
The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation
title The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation
title_full The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation
title_fullStr The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation
title_full_unstemmed The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation
title_short The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation
title_sort evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6280462/
https://www.ncbi.nlm.nih.gov/pubmed/30514348
http://dx.doi.org/10.1186/s13014-018-1192-x
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